APAC firms fast maturing in big data readiness

Networks Asia staff
Networks Asia

Asia-Pacific organizations are fast maturing in their capabilities to leverage big data and analytics (BDA) technologies, research from IDC shows.

The research indicates that 34% of APAC organizations are progressing to more mature stages including repeatable and managed stages. This is close to a five-fold increase compared to 2014.

“At the repeatable and managed stages, organizations begun to realize the business value of their BDA investment, and some created new product and services to bring in new revenue streams,” IDC senior market analyst for big data and analytics research Qiao Li said.

However, more than 65% of organizations in the region remain at the first two stages and take an ad hoc or opportunistic approach. This majority has just started their BDA journey, learning and experimenting BDA technologies to address business challenges.

Data-rich industries like financial services, communications & media, and services (including Internet companies) are leading in cross-divisional adoption and capitalization of their data assets.

Countries differ in maturity progression. Korea is one of the fastest-growing countries in terms of BDA maturity, moving ahead of Singapore. On the other hand, Hong Kong has progressed the least in the past year.

This year, Australia, New Zealand, Korea and Singapore are leading in BDA maturity in Asia Pacific (excluding Japan), followed by Hong Kong, China, Taiwan and India. Emerging ASEAN countries remain as the starters in the maturity curve.

According to IDC, organizations who achieved success with their big data and analytics have established a BDA strategy and data-driven culture across the enterprise and a central architecture board governed all BDA deployments.

At these organizations, data quality is governed by centralized processes, metrics and methods and collaboration process are in place among staff to share relevant data, metrics, and best practices. Data management and analysis process are meanwhile defined, measured, and managed based on clearly understood metrics

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